Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 43 for “"Traffic Scenarios"”.
-
Studying the technical challenges of a customizable multi-user multi-modal simulation platform for traffic safety research
Understanding traffic behavior is critical to ensuring the safety of our roads and all those who use them. Traffic psychologists and engineers utilize a variety of techniques such as large-scale field observations, computational modeling, and simulation in attempts to recognize dangers and give …
-
Online risk-aware conditional planning with qualitative autonomous driving applications
… and guarantee safety bounds in uncertain traffic scenarios are two steps towards building trust in vehicle autonomy. In this thesis, we present an approach to the problem of Qualitative Autonomous Driving (QAD) using risk-bounded conditional planning. First, we present Incremental …
-
Contract-based safety verification for autonomous driving
… safe with respect to probabilistic models of traffic behavior, and ensure that it will follow the rules of the road. We generate contracts using reachability analysis in a reach-avoid problem under consideration of dynamic obstacles, i.e., other traffic participants. Contracts are then derived …
-
Study and Evaluation of Traffic Responsive Control on a Large Arterial Network
Traffic responsive mode of operation with its two mechanisms, threshold-based and pattern matching, is considered one of the effective and efficient signal control modes. This operation mode is underutilized due to its cumbersome configuration procedure. The research presented in this thesis aims …
-
Development of a Computer Based Airspace Sector Occupancy Model
… The model determines the occupancy of Air Traffic Control Center (ARTCC) sectors for a given geometry of sectors and flight schedules, and can be used to study the impact of alternative flight schedules on the workload imposed on the sectors. Along with complimentary airspace analysis …
-
Learning to Trade Off Performance and Safety in Mixed Autonomy Traffic
… need to study the interactions between efficient traffic flow and driving safety in mixed autonomy traffic. Extending from reinforcement learning methods in robotic control methods and from learning methods for location-based actuators like traffic lights, this thesis considers control strategies …
-
Towards SLO-aware Resource Scheduling for Serverless Inference Workloads
… for parallel computing in high-request traffic scenarios. This thesis addresses the need for efficient and cost-effective Machine Learning (ML) inference capabilities by exploring batching and autoscaling strategies for Serverless Inference instances. The study proposes a prototype FaaS …
-
Applying Reservoir Computing for Driver Behavior Analysis and Traffic Flow Prediction in Intelligent Transportation Systems
… to enhance driver behavior assessment and traffic flow prediction. Our approach combines Reservoir Computing with autoencoder-based feature extraction to analyze driving metrics from vehicle sensors, capturing complex temporal patterns efficiently. Additionally, we extend our analysis to …
-
Modeling of ground operations using end-around (perimeter) taxiways for the modernized Chicago O'Hare International Airport
… and overall airport efficiency in future high traffic scenarios have been analyzed. Results show that the implementation of EATs will drastically reduce the potential for incursions with a 15-25 percent increase in global-level airport taxi-times. While the significant rise in taxi-times can be …
-
Design and implementation of a sector-based airspace model for the MIT Extensible Air Network Simulation
… designed to assist airline schedulers and air traffic managers in predicting flight delays for given air traffic scenarios. One aspect of the simulation, the determination of flight times, has received criticism from the MEANS users as being too simplistic for their needs. Currently, MEANS …
-
Enhancing Road Safety through Machine Learning for Prediction of Unsafe Driving Behaviors
… two crucial challenges in road safety: analyzing traffic intersections to enhance safety by predicting potentially risky situations, and monitoring driver activity to prevent distracted driving accidents. Focusing on Virginia's intersections, we thoroughly examine traffic participant interactions …
-
Realtime Vehicle Route Optimisation via DQN for Sustainable and Resilient Urban Transportation Network
Traffic congestion has become one of the most serious contemporary city issues for urban transportation network as it leads to unnecessary high energy consumption, air pollution and extra travelling time. During this decade, many optimization algorithms have been designed to achieve the optimal …
-
Low Power Techniques for Future Network-on-Chip Architectures
… data encoding under both synthetic and real traffic scenarios. We found that the proposed techniques allow to significantly reduce the energy consumption of the NoC fabric without degrading the performance metrics. Energy savings ranging from 20% to 43% have been observed without any relevant …
-
Cooperative Perception in Autonomous Ground Vehicles using a Mobile Robot Testbed
… safe driving over a short range and improves traffic flow efficiency over a long range. This thesis proposes a methodology for cooperative perception for autonomous vehicles over a short range. The problem of cooperative perception is broken down into sub-tasks of cooperative relative …
-
Performance Evaluation of TCP Multihoming for IPV6 Anycast Networks and Proxy Placement
… using realistic network topologies and different traffic scenarios of client-server TCP flows. Network throughput, packet latency delay and packet loss rate are the three performance metrics used in our analysis. Performance comparisons between the Anycast Proxy service and the native IP Anycast …
-
Shape based classification and functional forecast of traffic flow profiles
<p>This dissertation proposes a methodology for traffic flow pattern analysis, its validation, and forecasting. The shape of the daily traffic flows are directly related to the commuter’s traffic behavior which merit analysis based on their shape characteristics. As a departure from the traditional …
-
Network-wide Assessment of Eco-Cooperative Adaptive Cruise Control Systems on Freeway and Arterial Facilities
… results from INTEGRATION, a microscopic traffic assignment and simulation software, considering different freeway speed limits, traffic demand levels and system market penetration rates. In total, 19 traffic scenarios for each of the four different cases (Eco-CACC-A, Eco-CACC-F and …
-
Evaluation of Crossover Displaced Left-turn (XDL) Intersections and Real-time Signal Control Strategies with Artificial Intelligence Techniques
… yet have a simplified procedure to evaluate its traffic performance and compare it with a conventional intersection. Several studies have shown qualitative and quantitative benefits of the XDL intersection without providing accessible tools for traffic engineers and planners to estimate average …
-
Satellite Rural Telephone Network Design: A Methodology for Performance Optimization
… do not generate the same level of telephone traffic and, thus, revenue as urban users, lowering the incentives to invest in rural telecommunications. The financial implications of wiring a vast area for low telephone traffic causes most telephone service providers to ignore or delay offering …
-
Context-aware pedestrian intent prediction for connected and automated vehicles
… we present a unique approach to structuring traffic scenes as graph data. This involves a novel ego-centric vehicle approach with a wheel topology that effectively captures the dynamics and interactions among traffic participants, the surrounding environment, and pedestrians. Additionally, we …
Page 1 of 3